[PIXEL-PERFECT POLYGON MASKS • INDIVIDUAL TYPE PAGE]

Polygon Instance Segmentation

Sub-pixel boundary polygon vertex tracing for complex overlapping objects, medical cell boundaries, and autonomous driving drivable area segmentation.

POLYGON INSTANCE SEGMENTATION TELEMETRY INSPECTOR • HITL QA PASS: GROUND TRUTH VERIFIED

Quality & Precision Benchmarks

MASK IOU ACCURACY

92.4%

BOUNDARY PRECISION

Sub-pixel Exact

HITL QA PRECISION

> 99.6%

EXPORT STANDARD

COCO JSON / CVAT XML

Dataset Taxonomy & Output Structure

polygon_vertices (x, y Sub-pixel Arrays)

segmentation_area (Pixels² Area Latch)

is_crowd (0/1 Instance Flag)

category_id (COCO Taxonomy Latch)

Specific Type Tasks & Applications

• Autonomous Vehicle Drivable Area Segmentation
• Medical Cell & Tumor Boundary Segmentation
• Satellite Infrastructure Land Use Masking

What Is Right vs What Is Wrong

COMMON COMPETITOR ERRORS (WRONG)	BLUE PROJECTS GROUND TRUTH (RIGHT)
FAIL: Coarse polygon vertices cutting across object edges	PASS: Sub-pixel exact polygon vertex placement fitting natural object contours
FAIL: Unlabeled overlapping instances causing model ambiguity	PASS: Separate distinct instance masks with explicit occlusion ordering

Files & Telemetry Data Example (Python)

import json

# Load Blue Projects Annotation Data Type: Polygon Instance Segmentation
with open("polygon-instance-segmentation_annotation_sample.json", "r") as f:
    data = json.load(f)
print("Loaded Keys:", list(data.keys()))

Why Blue Projects for Polygon Instance Segmentation?

Request a free POC pilot annotation batch (up to 500 frames annotated free within 24 hours).

Request Free POC Pilot Batch →